GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
COGNITIVE COMPUTING AND SMART MACHINES/5131333
Course Title: COGNITIVE COMPUTING AND SMART MACHINES
Credits 3 ECTS 7.5
Course Semester 2 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
   Turkish/Englis
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Students will be able to follow new methods, applications and trends in computer engineering be able to use new methods and approaches to solve com
Students will be able to use new methods and approaches to solve problems in computer engineering ang ICT.

 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Cognitive systems and new era of computing
2. Week  Big Data and Von Neuman bottleneck
3. Week  Learning systems
4. Week  Learning systems
5. Week  Big Data handling”
6. Week  Reasoning and Decision making
7. Week  Data Centric design
8. Week  Cognitive creativity
9. Week  Midterm Exam
10. Week  Neuromorphic –Neurosynaptic chips
11. Week  Corelet programming language
12. Week  Human computer collaboration
13. Week  Human computer collaboration
14. Week  New era opportunities and innovation in computing
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
1
15
 Application
0
0
 Projects
1
15
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
14
3
42
 Searching in Internet and Library
14
3
42
 Material Design and Implementation
0
 Report Preparing
3
10
30
 Preparing a Presentation
2
10
20
 Presentation
1
1
1
 Midterm Exam and Preperation for Midterm Exam
1
10
10
 Final Exam and Preperation for Final Exam
1
10
10
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
197
 TOTAL WORKLOAD / 25: 
7.88
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X
11X
12X
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Dr. Aydın ÇETİN)
 -- WEB SITE(S) OF LECTURER(S)
   (http://websitem.gazi.edu.tr/site/acetin)
 -- EMAIL(S) OF LECTURER(S)
   (acetin@gazi.edu.tr)